Reading up on Gemini 3 Pro

A study measuring five frontier LLMs on 1,000 recent fact-check claims found 67% disagreement, indicating limited inter-model agreement.

To get the most out of AI in 2026, the author recommends using multiple models for different tasks as each model has jagged capabilities.

Gemini 3 Flash likely uses a massive 1.2 trillion-parameter ultra-sparse MoE architecture, activating only 5–30 billion parameters per inference to deliver high intelligence at low cost, though it suffers from token bloat and a 91% hallucination rate on refusals.

Google is testing a seamless transition from AI Overviews to AI Mode on mobile, and expanding Gemini 3 Pro to 120 countries.

Google released Antigravity, an agentic IDE and VS Code fork with three surfaces—agent dashboard, editor, and browser extension—for building apps with Gemini models.